5.3 SMS Classes

The storage administrator uses ISMF to create an ACS routine for each of the three types of classes and one to assign the Storage Groups. These routines, used together with the Data Class, Storage Class, Management Class, Storage Group definitions, and the base configuration, define an installation’s SMS configuration.

Figure 13 on page 38 shows the relationship of each of the four constructs which make up the SMS ACS routine environment. The following sections describe each of the classes in more detail.

SMS Construct Relationship

Organization Performance

Data

Storage

Class

Class

Dataset

 

Management

Storage

Class

Group

 

 

Availability

Location

Figure 13. SMS Construct Relationship

5.3.1 Data Class

5.3.1.1 Description

Formerly, when allocating new data sets, users were required to specify a full set of attributes. Even for multiple allocations, repetitive coding was required. With the introduction of SMS, this process is now simplified, and also helps to enforce standards by use of the Data Class.

A Data Class is a named list of data set allocation and space attributes that SMS assigns to a data set when it is created. It contains associated default values set by the storage administrator. Data Classes can be assigned implicitly through the ACS routines or explicitly using the following:

•JCL statement. The user only need specify the relevant Data Class keyword such as DATACLAS=DCLIB

•TSO/E ALLOCATE command DATACLAS(DCLIB)

•IDCAMS ALLOCATE and DEFINE commands

•ISPF/PDF Data set allocation panel

When specified, the Data Class allocates a data set in a single operation. Any disk data set can be allocated with a Data Class whether managed by SMS or not. Tape data sets cannot be allocated with Data Classes.

38Storage Management with DB2 for OS/390

Page 59 Page 61
Page 60
Image 60
IBM 5655-DB2, 5695-DF1 manual SMS Classes, Data Class, Description
Page 59 Page 61

5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.
Top Page Image Contents